Autonomy Talks - Sehoon Ha: Guided reinforcement learning to learn interactive motor skills
Автор: Autonomy Talks
Загружено: 2024-10-08
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Autonomy Talks - 08/10/24
Speaker: Prof. Sehoon Ha, Georgia Institute of Technology
Title: Guided reinforcement learning to learn interactive motor skills
Abstract: Intelligent robot companions have the potential to improve the quality of human life significantly by changing how we live, work, and play. While recent advances in software and hardware opened a new horizon of robotics, state-of-the-art robots are yet far from being blended into our daily lives due to the lack of human-level scene understanding, motion control, safety, and rich interactions. I envision legged robots as intelligent machines beyond simple walking platforms, which can execute a variety of real-world motor tasks in human environments, such as home arrangements, last-mile delivery, and assistive tasks for disabled people. In this talk, I will discuss relevant multi-disciplinary research topics, particularly focusing on how we can extend deep reinforcement learning algorithms to learn more challenging interactive motor skills effectively.
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